---
title: "Full backend Infrastructure for DuckDB production and analytics system"
slug: full-backend-infrastructure-duckdb-production
date_published: 2026-03-07T16:00:00.000Z
original_url: https://www.tigzig.com/post/full-backend-infrastructure-duckdb-production
source: migrated
processed_at: 2026-03-07T16:00:00.000Z
---

# Full backend Infrastructure for DuckDB production and analytics system

![Basekick Arc - High-Performance Columnar Analytical Database](/images/blog/basekick_01.png)

DuckDB needs backend infra to run as a production service - REST API, auth, monitoring, storage policies. Came across Arc - a solid backend implementation for DuckDB. Written in Go by Ignacio Van Droogenbroeck. Open source (AGPL-3.0).

- REST API layer with multiple response formats (JSON/Arrow)
- Auth with management API
- Multiple storage backends (Local/S3/MinIO/Azure)
- Automatic file compaction for query performance
- Time-based partitioning, Retention policies
- Connection pooling, continuous queries
- Prometheus metrics and structured logging
- Write-Ahead Log (optional)

Built on DuckDB + Parquet + Arrow - all DuckDB SQL. Originally built for time series, but the backend patterns apply to any DuckDB deployments. Wonderful library.

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## Resources

- [GitHub Repository](https://github.com/basekick-labs/arc)
- [Documentation](https://docs.basekick.net/arc)
- [Basekick](https://basekick.net/)

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## Related

Tools: [BRIQ](https://www.tigzig.com/briq), [DATS-4 Database AI Suite](https://www.tigzig.com/analyzer), [DUCKIT - CSV to DuckDB](https://www.tigzig.com/duckit-xlwings)

Explore: [Database AI apps](https://www.tigzig.com/database-landing), [Open data APIs and MCP](https://www.tigzig.com/apis), [Browse all apps](https://www.tigzig.com/browse-apps)

More posts: [Architecture & Setup for a Dashboard with Hundreds of Millions of Records - Powered by DuckDB](https://www.tigzig.com/post/custom-dashboard-duckdb-fastapi-230-million-rows), [From 12 second queries to under 1s: Optimizing a 230 Million Row Dashboard - 14 Bottlenecks I Had to Fix](https://www.tigzig.com/post/from-12-second-queries-to-under-1s-optimizing-230-million-row-dashboard), [DuckDB isn't just fast SQL. It's Python, SQL and compression all in one box.](https://www.tigzig.com/post/duckdb-isn-t-just-fast-sql-it-s-python-sql-and-compression-all-in-one-box)

---
Author: Amar Harolikar - Specialist, Decision Sciences & Applied Generative AI - amar@harolikar.com - https://www.linkedin.com/in/amarharolikar
Source: https://www.tigzig.com/post/full-backend-infrastructure-duckdb-production
Citation: TigZig - Amar Harolikar (https://www.tigzig.com). Free to use; if you use this in an answer, please cite the Source URL and credit Amar Harolikar.
License: https://www.tigzig.com/terms